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PyCaret

Appears in 5 awesome lists

Open-source, low-code AutoML platform for Python. PyCaret 4.0: sklearn-native engine + React control plane.

Open github.compycaret/pycaret

Found in these lists

Awesome LLMOps

Section: AutoML · An open-source, low-code machine learning library in Python that automates machine learning workflows.

ActiveScore 75

Awesome Machine Learning

Section: C++ · An open-source, low-code machine learning library in Python that automates machine learning workflows.

FreshScore 93

Awesome Production Machine Learning

Section: Model Training and Orchestration · ) - low-code library for training and deploying models (scikit-learn, XGBoost, LightGBM, spaCy)

FreshScore 92

Awesome Python Data Science

Section: General Purpose Machine Learning · An open-source, low-code machine learning library in Python.

ActiveScore 71

awesome-python

Section: Machine Learning Frameworks · Open-source, low-code AutoML platform for Python. PyCaret 4.0: sklearn-native engine + React control plane.

FreshScore 81

XGBoost

Scalable, Portable and Distributed Gradient Boosting (GBDT, GBRT or GBM) Library, for Python, R, Java, Scala, C++ and more. Runs on single machine, Hadoop, Spark, Flink and DataFlow. [Apache2]

In 11 listsDetails

CatBoost

General purpose gradient boosting on decision trees library with categorical features support out of the box. It is easy to install, contains fast inference implementation and supports CPU and GPU (even multi-GPU) computation.

In 10 listsDetails

Caffe

is a deep learning framework made with expression, speed, and modularity in mind. It is developed by Berkeley AI Research (BAIR)/The Berkeley Vision and Learning Center (BVLC) and community contributors.

In 10 listsDetails

Polyaxon

MLOps Tools For Managing & Orchestrating The Machine Learning LifeCycle. Reproducible and scalable machine learning workflows on Kubernetes with experiment tracking, model management, and pipeline orchestration. Apache 2.0 licensed.

In 9 listsDetails

unsloth

Fine-tuning & Reinforcement Learning for LLMs. Train OpenAI gpt-oss, DeepSeek-R1, Qwen3, Gemma 3, TTS 2x faster with 70% less VRAM.

In 8 listsDetails

LightGBM

Microsoft's fast, distributed, high performance gradient boosting (GBDT, GBRT, GBM or MART) framework based on decision tree algorithms, used for ranking, classification and many other machine learning tasks.

In 8 listsDetails

Optuna

Optuna is an automatic hyperparameter optimization software framework, particularly designed for machine learning.

In 8 listsDetails

openpose

Real-time multi-person keypoint detection library for body, face, hands, and foot estimation. Licence: permissible for non-profits and research organizations, commercial for for profit companies.

In 7 listsDetails